无人机辅助多用户毫米波MIMO系统的透镜波束预编码技术研究  

Lens Array-based Beam Precoding Optimization for UAV-enabled Multiuser Millimeter Wave MIMO System

作　　者：陈真 唐杰 杜晓宇 章秀银[1] CHEN Zhen;TANG Jie;DU Xiaoyu;ZHANG Xiuyin(School of Electronic and Information,South China Univeraity of Technology,Guangzhou 510641,China)

机构地区：[1]华南理工大学电子与信息学院,广州510641

出　　处：《电子与信息学报》2022年第3期844-851,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62001171);广东省自然科学基金(2021A1515011966)。

摘　　要：无人机(UAV)与毫米波(mmWave)多输入多输出(MIMO)系统的结合可以提供高数据速率的空中链路,然而其部署位置及波束赋形设计直接影响无线通信系统的吞吐量。为实现多用户同时接入通信,该文提出基于离散透镜阵列(DLA)结构的波束空间预编码技术,构建了联合UAV飞行高度、波束选择及混合预编码的优化方案。为了解决这一涉及随机目标函数的非凸优化问题,该文利用最小化加权最小均方误差方法,将问题转化为求一系列子优化问题,进而通过一种惩罚对偶分解(PDD)算法求解。数值仿真结果表明,该方案能够实现接近全数字波束赋形方案的频谱效率性能。The combination of Unmanned Aerial Vehicle(UAV)and millimeter Wave(mmWave)Multiple Input Multiple Output(MIMO)system can provide high data rate.However,deployment location of UAV and beamforming design affect directly the throughput of wireless communication system.To realize multi-user simultaneous access communication,beam space precoding technique based on Discrete Lens Array(DLA)structure is proposed in this paper,and an optimization scheme of joint UAV flight altitude,beam selection and hybrid precoding is constructed.To solve this highly non-convex problem that involves a stochastic objective function,this paper exploits the minimization weighted minimum mean square error method,transforms the problem into a series of simple approximation problems and then develops a Penalized Dual Decomposition(PDD)algorithm to solve the peoblem.Numerical simulations results show that the proposed scheme achieve near optimal achievable sum rate performance and close to full digital beamforming.

关 键 词：无人机 毫米波通信 MIMO 混合预编码 透镜天线阵列 

分 类 号：TN911.7[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]